Abstract:On the basis of analyzing the MT technical characters in oil exploration and its existed problems,the paper analyzed the adaptability of using wavelet analysis for MT noise-suppressed issue.It's unable to gain correct results only using common processing measures currently we have when the coherent noises and other strong noises existed in MT time series,but using the self-adaptability and localization of wavelet analysis method can carry out the noise-suppressed analysis of MT time series ,at this time,the every error between reconstructed time series and original time series in wavelet analysis should be less than 0.05%.This studied result pravided the foundation for application of wavelet analysis to MT noise-suppressed analysis and a feasible way for noise-suppressed processing of MT time series.
刘宏, 何兰芳, 王绪本, 何展翔, 王娇. 小波分析在MT去噪处理中的适定性[J]. 石油地球物理勘探, 2004, 39(3): 338-341.
Liu Hong, He Lan-fang, Wang Xu-ben, He Zhan-xiang, Wang Jiao. Adaptability of Wavelet Analysis in MT Noise-Suppressed Processing. OGP, 2004, 39(3): 338-341.